List your company

Long-context Understanding on LongBench (Selected Subtasks)

46.25Average ScoreLKV
9.79819.261528.72538.1885Mar 15, 2026Mar 21, 2026Mar 27, 2026Apr 3, 2026Apr 9, 2026Apr 15, 2026Apr 22, 2026

Evaluation results

MethodLinks
LKVModel=Qwen3-8B, Retention Ratio (R)=0.52026.0446.25————————
LKVModel=Qwen3-8B, Retention Ratio (R)=0.32026.0446.01————————
LKVModel=Qwen3-8B, Retention Ratio (R)=0.22026.0445.93————————
LKVModel=Qwen3-8B, Retention Ratio (R)=0.42026.0445.86————————
LKVModel=Qwen3-8B, Retention Ratio (R)=0.152026.0445.41————————
Ada-SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.52026.0444.53————————
SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.52026.0444.41————————
Ada-SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.42026.0443.53————————
SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.42026.0443.2————————
LKVModel=Qwen3-8B, Retention Ratio (R)=0.12026.0443.17————————
Ada-SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.32026.0442.44————————
SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.32026.0441.41————————
Ada-SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.22026.0440.21————————
PyramidKVModel=Qwen3-8B, Retention Ratio (R)=0.52026.0440.2————————
PyramidKVModel=Qwen3-8B, Retention Ratio (R)=0.42026.0439.82————————
SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.22026.0439.16————————
PyramidKVModel=Qwen3-8B, Retention Ratio (R)=0.32026.0438.23————————
Ada-SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.152026.0437.9————————
SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.152026.0436.72————————
PyramidKVModel=Qwen3-8B, Retention Ratio (R)=0.22026.0436.19————————
Ada-SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.12026.0434.1————————
PyramidKVModel=Qwen3-8B, Retention Ratio (R)=0.152026.0434.01————————
SnapKVModel=Qwen3-8B, Retention Ratio (R)=0.12026.0433.31————————
DuoAttentionModel=Qwen3-8B, Retention Ratio (R)=0.52026.0432.66————————
PyramidKVModel=Qwen3-8B, Retention Ratio (R)=0.12026.0432.29————————
Hybrid Gated DeltaNet + M2RNN-5Model Scale=7B MoE, Active Parameters=1B active2026.0331.212.21616.15973.5361818.9
DuoAttentionModel=Qwen3-8B, Retention Ratio (R)=0.42026.0430.67————————
Hybrid Gated DeltaNet + M2RNN-1Model Scale=7B MoE, Active Parameters=1B active2026.0330.417.216.5669.564.934.120.115.1
DuoAttentionModel=Qwen3-8B, Retention Ratio (R)=0.32026.0428.89————————
DuoAttentionModel=Qwen3-8B, Retention Ratio (R)=0.22026.0427.4————————
DuoAttentionModel=Qwen3-8B, Retention Ratio (R)=0.12026.0427.13————————
DuoAttentionModel=Qwen3-8B, Retention Ratio (R)=0.152026.0426.85————————
Gated DeltaNetModel Scale=7B MoE, Active Parameters=1B active2026.03254.820.312.24761.636.29.77.9
Hybrid M2RNNModel Scale=7B MoE, Active Parameters=1B active2026.0324.610.913.921.15244.718.519.815.7
M2RNNModel Scale=7B MoE, Active Parameters=1B active2026.0323.48.119.111.826.551.330.720.419.3
Hybrid Gated DeltaNetModel Scale=7B MoE, Active Parameters=1B active2026.0323.110.415.816.757.535.123.69.716.3
Hybrid Mamba-2 + M2RNN-5Model Scale=7B MoE, Active Parameters=1B active2026.0322.718.610.37.160.545.721.49.78
Mamba-2Model Scale=7B MoE, Active Parameters=1B active2026.0322.55.11613.44259.72213.48.7
GRUModel Scale=7B MoE, Active Parameters=1B active2026.0319.45.71810.8952.424.620.913.9
Hybrid Mamba-2Model Scale=7B MoE, Active Parameters=1B active2026.0318.89.17.720.362.523.312.15.69.8
RNNModel Scale=7B MoE, Active Parameters=1B active2026.0314.29.316.710.5427.51317.115.8
Hybrid Mamba-2 + M2RNN-1Model Scale=7B MoE, Active Parameters=1B active2026.0313.18.63.921.225.51511.57.511.6
Transformer++Model Scale=7B MoE, Active Parameters=1B active2026.0311.26.16.1171611.41013.110.2